Terms Finder - AI Warranty Tracker Model
Warranty Tracker
by Neurometric📄 Document Intelligence
Terms-Finder is a task-specific model that scans product manuals to extract specific warranty durations and conditions.
Terms Finder is designed for Document Intelligence workflows where speed, consistency, and control matter more than generic creativity. Instead of relying on a broad model to guess intent each time, this task-specific SLM is optimized for warranty tracker and predictable output quality. That makes it easier to adopt in production pipelines where teams need reliable formatting, lower latency, and reduced hallucination risk.
Most teams integrate CRM records, internal docs, and workflow tools to automate repetitive language-heavy tasks with predictable outputs. This makes deployment practical for sales ops, customer success, legal, and operations teams that need answers grounded in their own data. Because the model is small and focused, teams can run it with efficient infrastructure while still meeting quality targets for the use case.
Compared with general-purpose models, focused SLMs like this one typically deliver better precision for narrow tasks, lower cost per request, and easier governance. You can start with the free tier, test the model against your business data, and scale usage through Neurometric APIs or ClawPack workflows when performance meets your benchmark.
Model: Qwen/Qwen3-4B-Instruct-2507
This task-specific SLM uses Qwen/Qwen3-4B-Instruct-2507 with a specialized system prompt. The model weights are identical to the base Qwen model — the task specialization comes from the system prompt and has been validated through our testing pipeline. Need better accuracy? We can fine-tune the model on your data for your specific use case.
Quickstart
Copy-paste code to use Terms-Finder in your project
from openai import OpenAI
client = OpenAI(
base_url="https://api.neurometric.ai/v1",
api_key="YOUR_API_KEY"
)
resp = client.chat.completions.create(
model="neurometric/terms-finder",
messages=[
{"role": "user",
"content": "{\n \"region\": \"EU/UK\",\n \"manual_text\": \"LIMITED WARRANTY (EU/UK): The manufacturer provides a 3-year limited warranty commencing on the original retail purchase date. Batteries and chargers are co..."}
]
)
print(resp.choices[0].message.content)Test Results
Example Input
Region: EU/UK Manual Text: LIMITED WARRANTY (EU/UK): The manufacturer provides a 3-year limited warranty commencing on the original retail purchase date. Batteries and chargers are covered for 12 months. To obtain service, register the product within 30 days and present the receipt. The warranty is void if the serial number label is removed or if the product has been modified. Product Name: NordicHome Robot Vacuum V5
Expected Output
Warranty Extracted:
Key Conditions: - Product registration within 30 days
Receipt required
Void if serial number label removed
Void if product modified
Standard Duration: 3 years from original purchase date
Battery Charger Duration: 12 months from original purchase date
Actual Model Response
Warranty Details for NordicHome Robot Vacuum V5 (EU/UK):
Limited Warranty Duration: 3 years from the original retail purchase date. - Battery and Charger Warranty: 12 months from the original retail purchase date. - Service Requirements: To qualify for service, the product must be registered within 30 days of purchase, and a valid receipt must be presented. - Warranty Void Conditions: The warranty is void if the serial number label is removed or if the product has been modified.
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Capabilities
Related models
Frequently asked questions
Does Terms Finder work with CRM systems?
Yes. Terms Finder is built to work with CRM systems, internal docs, and CSV/JSON pipelines. Most teams connect existing APIs or scheduled exports and map records into prompt-ready JSON.
What data format does this model accept?
You can send plain text or structured JSON. For warranty tracker, teams usually pass normalized records with field names, context notes, and output constraints.
Why use a task-specific SLM for warranty tracker?
Task-specific SLMs are tuned for one business outcome, so they are often more consistent and cost-efficient than general models for repetitive production workflows.
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Use via API
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Need better performance?
We can fine-tune this model on your data for higher accuracy on your specific use case.